shril⚡

Senior Software Engineer @Groupon | Co-founder - Civil AI 🧑🏻‍💻 | IIT Dhanbad Alum 🎓
Tweets about tech, products, career, investing, life & memes.

[Sergey Nazarov @sergeynazarovx]

We used to go to a special website, ask strangers for help with programming, and get humiliated in return

[How To Prompt @HowToPrompt__]

Yann LeCun was right the entire time. And generative AI might be a dead end.

For the last three years, the entire industry has been obsessed with building bigger LLMs. Trillions of parameters. Billions in compute.

The theory was simple: if you make the model big enough, it will eventually understand how the world works.

Yann LeCun said that was stupid.

He argued that generative AI is fundamentally inefficient.

When an AI predicts the next word, or generates the next pixel, it wastes massive amounts of compute on surface-level details.

It memorizes patterns instead of learning the actual physics of reality.

He proposed a different path: JEPA (Joint-Embedding Predictive Architecture).

Instead of forcing the AI to paint the world pixel by pixel, JEPA forces it to predict abstract concepts. It predicts what happens next in a compressed "thought space."

But for years, JEPA had a fatal flaw.

It suffered from "representation collapse."

Because the AI was allowed to simplify reality, it would cheat. It would simplify everything so much that a dog, a car, and a human all looked identical.

It learned nothing.

To fix it, engineers had to use insanely complex hacks, frozen encoders, and massive compute overheads.

Until today.

Researchers just dropped a paper called "LeWorldModel" (LeWM).

They completely solved the collapse problem.

They replaced the complex engineering hacks with a single, elegant mathematical regularizer.

It forces the AI's internal "thoughts" into a perfect Gaussian distribution.

The AI can no longer cheat. It is forced to understand the physical structure of reality to make its predictions.

The results completely rewrite the economics of AI.

LeWM didn't need a massive, centralized supercomputer.

It has just 15 million parameters.

It trains on a single, standard GPU in a few hours.

Yet it plans 48x faster than massive foundation world models. It intrinsically understands physics. It instantly detects impossible events.

We spent billions trying to force massive server farms to memorize the internet.

Now, a tiny model running locally on a single graphics card is actually learning how the real world works.

[shril⚡ @_shril_]

@akoratana @matei_zaharia @pbailis @rauchg @zoink @drewhouston 100x

[Animesh Koratana @akoratana]

Introducing: PlayerZero

The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot.

We've raised $20M from Foundation Capital, @matei_zaharia (Databricks), @pbailis (Workday), @rauchg (Vercel), @zoink (Figma), @drewhouston (Dropbox), and more

PlayerZero frees up 30% of your engineering bandwidth by:
1.⁠ ⁠Finding the root cause for bugs & incidents in minutes that engineering teams take days to identify.
2.⁠ ⁠Predicting in minutes, edge case issues that a 300-person QA team would take weeks to find.

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Here's why this matters:

No one in your org has a complete picture of how your production software actually behaves.

Support sees tickets. SRE sees infra. Dev sees code. Each team builds their own fragmented view - and none of these systems talk to each other. When something breaks, everyone scrambles to stitch the picture together by hand.

PlayerZero connects all of it into a single context graph -

→ The Slack thread where your lead said "we went with X because Y fell apart in prod last time"
→ The PR review where an engineer explained the tradeoff
→ The lifetime history of your CI/CD pipeline, observability stack, incidents, and support tickets

So you can trace any problem to its root cause across every silo.

And it compounds. Every incident diagnosed teaches the model something new. The longer it runs, the deeper it understands - which code paths are high-risk, which configurations are fragile, which changes tend to break which customer flows.

So when you sit down to debug a live issue, you have your entire org's collective reasoning and production memory behind you - instantly.

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Zuora, Georgia-Pacific, and Nylas have reduced resolution time by 90% and caught 95% of breaking changes and freeing an average of $30M in engineering bandwidth.

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Our guarantee:

If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice.

Book a demo - https://t.co/dH1dulIwSS

[shril⚡ @_shril_]

@kunalb11 Nice one, I’ll prefer to use to culture or tradition instead of mythology.

[shril⚡ @_shril_]

@Shaadihelp @ShaadiDotCom I don't remember putting my account on auto-renewal.
Please help with refund.

[shril⚡ @_shril_]

@ShaadiDotCom help me cancel the membership.
I was not aware that the plan is on auto-renewal.
And there are no options to cancel the auto payments on your bot and help section.

[shril⚡ @_shril_]

ULIPs are insurance + investment, but do justice to neither.
You’re better off with:
💼 Term Insurance
📈 Direct Mutual Funds

Stay sharp. Don’t fall for the spreadsheet circus. 🎪

#ULIPScam #PersonalFinance #mutualfund #TaxSaving #InvestorAwarenes #HiddenCharges #ULIPTruth

[shril⚡ @_shril_]

🚨 Got pitched a ULIP by a LoLicyBazaar salesman today. What followed was a masterclass in half-truths and hidden charges. Here’s how I almost fell for it — and why YOU shouldn’t. 🧵👇

[shril⚡ @_shril_]

When I confronted him with the real XIRR numbers, he panicked.

Started throwing random nonsense like:
🧠 “Mutual funds have decreasing XIRR!”
🧠 “You should check -1 year returns!”
🧠 “Expense ratios will go up in future!”

Basically, full gaslighting mode. 💨

[shril⚡ @_shril_]

@WintWealth why there is a gap of 6 days between payment and transfer to the demat account?
I can see that the KYC is successful the next day.

[Aravind Srinivas @AravSrinivas]

the highest sense of purpose is dharma

[shril⚡ @_shril_]

@sumedha2199 It’s not working for me! Is it there only for plus subscribers?

[shril⚡ @_shril_]

@the_wingedman Bro voted for all parties.

[shril⚡ @_shril_]

@ilovemomos412 Man i met a girl on hinge and it’s been 2 since I have been married to her. 😅😂